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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. 9-RES-JB
    11. 4926
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ©
    -0.83
    pei
    -0.61
    erest
    -0.60
    iard
    -0.60
    âĢ¦]
    -0.60
    ...]
    -0.57
     Modified
    -0.57
     guiActiveUnfocused
    -0.56
     Supported
    -0.56
    ieth
    -0.56
    POSITIVE LOGITS
    especially
    1.28
    particularly
    1.22
     namely
    1.16
    albeit
    1.14
    until
    1.07
     albeit
    1.03
    perhaps
    1.02
    except
    0.98
    although
    0.98
    literally
    0.95
    Activations Density 0.141%

    No Known Activations