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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. 17898
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    INDEX
    Explanations

    quotes or statements expressing surprise or astonishment

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "this" and phrases indicating unique experiences or conditions

    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
    •layer 9 - surprise

    No Comments

    Negative Logits
    ²¾
    -0.94
    eli
    -0.78
    ©¶æ¥µ
    -0.69
    oz
    -0.69
    letters
    -0.67
    ãĤ·ãĥ£
    -0.66
    ento
    -0.65
    enders
    -0.64
    aez
    -0.64
    OWS
    -0.63
    POSITIVE LOGITS
     kind
    1.29
     sort
    1.18
     type
    1.18
     kinds
    0.97
     stuff
    0.96
     magnitude
    0.94
     amount
    0.92
     trope
    0.91
     exact
    0.91
     crap
    0.88
    Activations Density 0.208%

    No Known Activations