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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. 8-RES-JB
    11. 5014
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    Explanations

    words related to environmental destruction or modification

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental degradation and associated actions or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Osw
    -0.76
     Cec
    -0.67
     prin
    -0.61
     athlet
    -0.59
     awake
    -0.59
     Aad
    -0.58
     utmost
    -0.58
     unfor
    -0.57
     Racial
    -0.57
    USD
    -0.57
    POSITIVE LOGITS
    ing
    1.42
    ment
    1.41
    ed
    1.39
    ation
    1.33
    ification
    1.24
    able
    1.19
    ments
    1.17
    rification
    1.15
    mentation
    1.14
    ement
    1.14
    Activations Density 0.258%

    No Known Activations