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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. 19434
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    Explanations

    phrases mentioning specific dates or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating categories or classifications

    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
    icter
    -0.78
    orsi
    -0.71
    aeper
    -0.70
    bush
    -0.68
    blance
    -0.67
    gomery
    -0.66
     theirs
    -0.66
    ellar
    -0.66
    licted
    -0.65
     showc
    -0.63
    POSITIVE LOGITS
     Influ
    0.74
     Provided
    0.74
     Occupations
    0.69
     Sketch
    0.66
     Release
    0.65
    actionDate
    0.61
     Countries
    0.61
     Brune
    0.60
     Highlands
    0.59
     Foss
    0.58
    Activations Density 0.356%

    No Known Activations