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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. 3559
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    Explanations

    information about various topics or subjects

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "about," indicating a focus on descriptive or explanatory content

    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
    Twe
    -0.74
    igham
    -0.70
    OGR
    -0.67
    photo
    -0.66
    senal
    -0.65
    rack
    -0.64
     teasp
    -0.64
    KC
    -0.64
    WARNING
    -0.63
    }}}
    -0.63
    POSITIVE LOGITS
     how
    0.99
     whereabouts
    0.93
     what
    0.74
     calib
    0.73
     whether
    0.72
     whats
    0.70
     upcoming
    0.67
     wrongdoing
    0.65
    how
    0.63
     elapsed
    0.62
    Activations Density 0.138%

    No Known Activations