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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5961
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    INDEX
    Explanations

    generic information and lack of actionable content

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or personal narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )).
    -0.59
    !".
    -0.57
    .).
    -0.56
    ?".
    -0.53
    ''.
    -0.53
    ]."
    -0.53
    '."
    -0.52
    .</
    -0.51
    ]).
    -0.49
    ?).
    -0.49
    POSITIVE LOGITS
     congratulate
    0.37
    halla
    0.34
    anchester
    0.33
     IC
    0.31
     Pesh
    0.31
     booking
    0.30
     ent
    0.30
     Reyn
    0.30
    bilt
    0.30
     MEN
    0.29
    Activations Density 5.011%

    No Known Activations