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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 239
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    Explanations

    phrases related to technical tasks or processes involving data analysis and experimentation

    oai_token-act-pair · gpt-3.5-turbo

    specific types of data, examples, and statistical analyses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.65
    ople
    -0.63
    })
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    usterity
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    taboola
    -0.57
     })
    -0.57
    Ħ¢
    -0.56
    }}}
    -0.54
    }.
    -0.54
     Gleaming
    -0.52
    POSITIVE LOGITS
     consisting
    0.83
     whereby
    0.67
     (~
    0.65
     myself
    0.64
     wherein
    0.63
     suitable
    0.62
     (>
    0.61
     (#
    0.60
     illustrating
    0.59
    epad
    0.58
    Activations Density 0.720%

    No Known Activations