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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. 4700
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    Explanations

    images or descriptions of people holding various objects

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "holding" and similar actions

    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
     unemploy
    -0.80
    gression
    -0.74
    nown
    -0.70
    undown
    -0.69
    ablishment
    -0.67
    ensity
    -0.65
    inctions
    -0.65
    utation
    -0.65
    OTAL
    -0.64
     guiActiveUn
    -0.63
    POSITIVE LOGITS
    stretched
    0.95
     clipboard
    0.95
     fists
    0.94
     scissors
    0.94
     clenched
    0.93
    rily
    0.89
     palms
    0.87
     knives
    0.85
     spears
    0.81
     blades
    0.81
    Activations Density 0.167%

    No Known Activations