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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. 17274
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    Explanations

    references to existing entities or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to current systems, structures, or frameworks

    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
    Not in Any Lists

    No Comments

    Negative Logits
    alion
    -0.84
    ousse
    -0.80
    claimer
    -0.79
    aminer
    -0.78
    ÃŃa
    -0.78
    ertodd
    -0.76
    uchi
    -0.75
    arching
    -0.74
    umenthal
    -0.74
    oros
    -0.72
    POSITIVE LOGITS
     arrangements
    0.90
     ones
    0.90
     structures
    0.90
     infrastructure
    0.85
     relationships
    0.84
     inequalities
    0.78
     forms
    0.78
     liabilities
    0.78
     occupant
    0.74
     existing
    0.74
    Activations Density 0.052%

    No Known Activations