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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. 7-RES-JB
    11. 9870
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    Explanations

    words related to environmental or material composition, such as minerals and atmospheric conditions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to resource dominance and abundance in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atel
    -0.74
    cash
    -0.73
    irl
    -0.71
     sacrific
    -0.71
    earchers
    -0.69
    LOD
    -0.67
    OTAL
    -0.67
    skill
    -0.67
    ocrates
    -0.65
    icable
    -0.65
    POSITIVE LOGITS
    lihood
    0.75
     dystopian
    0.72
     portions
    0.71
    atives
    0.69
     environment
    0.68
     atmosphere
    0.67
     dystop
    0.66
     environments
    0.64
     omn
    0.63
     areas
    0.63
    Activations Density 0.126%

    No Known Activations