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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. 11-RES-JB
    11. 6769
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    Explanations

    names of individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names related to locations and people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tec
    -0.82
     chalk
    -0.82
    jac
    -0.77
     Masquerade
    -0.77
     JUL
    -0.72
     Sabb
    -0.71
     saliva
    -0.70
     FE
    -0.70
     Mum
    -0.70
     sim
    -0.69
    POSITIVE LOGITS
    or
    1.76
    OR
    1.70
    Or
    1.44
    ors
    1.41
    orf
    1.39
    oro
    1.38
    oris
    1.36
    oran
    1.33
    oros
    1.33
    ORS
    1.33
    Activations Density 0.204%

    No Known Activations