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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. 4-RES-JB
    11. 4848
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    Explanations

    mentions of power generation in terms of watts

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with energy generation capacity, particularly in megawatts

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

    No Comments

    Negative Logits
    ullah
    -0.83
    pheus
    -0.79
    otle
    -0.78
    swer
    -0.74
    essee
    -0.71
    Ĩ
    -0.68
     Abram
    -0.67
    nell
    -0.66
    emi
    -0.66
    arium
    -0.66
    POSITIVE LOGITS
    edition
    0.79
    âĶĢâĶĢâĶĢâĶĢ
    0.74
    ³³³³
    0.74
    ijk
    0.68
    ¯¯¯¯¯¯¯¯
    0.68
    graded
    0.68
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    0.67
    ilver
    0.67
     Towns
    0.66
    âĶĢ
    0.65
    Activations Density 0.039%

    No Known Activations