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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. 20345
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    Explanations

    references to proposals or suggestions in a written document

    oai_token-act-pair · gpt-3.5-turbo

    mentions of formal proposals

    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
    wood
    -0.80
    si
    -0.71
    vin
    -0.70
    ocent
    -0.69
    avis
    -0.67
    umi
    -0.67
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.66
    minster
    -0.66
    ulu
    -0.66
    woods
    -0.65
    POSITIVE LOGITS
     proposals
    1.06
     proposal
    0.99
    ļéĨĴ
    0.80
     proposing
    0.74
     proposed
    0.74
     sugg
    0.72
    osal
    0.68
     decriminal
    0.68
    eca
    0.67
    posal
    0.65
    Activations Density 0.023%

    No Known Activations