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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. 23905
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    Explanations

    specific prepositions indicating movement or direction, particularly 'in'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "going in."

    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
    =]
    -0.64
    TED
    -0.58
    STER
    -0.58
    %"
    -0.54
    DN
    -0.54
    PIN
    -0.53
    CLASSIFIED
    -0.53
    peak
    -0.52
    IAS
    -0.52
    ANGE
    -0.51
    POSITIVE LOGITS
    humane
    1.07
    ordinate
    1.00
    escap
    1.00
    wards
    1.00
     unison
    1.00
    animate
    0.99
    vert
    0.97
    sole
    0.96
    between
    0.93
    efficiency
    0.93
    Activations Density 0.222%

    No Known Activations