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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. 1-RES-JB
    11. 3265
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    Explanations

    phrases related to instructions or preparations

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with actions and decision-making processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.49
     Hurricanes
    -0.45
    natureconservancy
    -0.40
    EStreamFrame
    -0.40
     Seym
    -0.38
    wcs
    -0.38
     Corpor
    -0.37
     Byrd
    -0.37
     cryst
    -0.37
     Surveillance
    -0.37
    POSITIVE LOGITS
    gers
    0.51
    able
    0.51
    ings
    0.49
    backs
    0.48
    ingly
    0.48
    ables
    0.45
    books
    0.44
    ers
    0.44
    ="#
    0.43
    abl
    0.43
    Activations Density 1.418%

    No Known Activations