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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. 0-RES-JB
    11. 12010
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    INDEX
    Explanations

    proper nouns or names, particularly related to film production

    oai_token-act-pair · gpt-3.5-turbo

    references to specific terms related to roles, wages, or materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cran
    -0.79
     mur
    -0.72
    oter
    -0.63
    llers
    -0.62
     Por
    -0.61
     Brotherhood
    -0.60
     thereto
    -0.60
     vest
    -0.59
    tin
    -0.59
     Zeus
    -0.59
    POSITIVE LOGITS
    =>
    4.02
     {:
    1.44
    "]=>
    1.20
    =#
    1.06
    -->
    1.04
     yarn
    1.04
    itton
    1.03
    wage
    1.02
    profits
    0.96
    ï¸
    0.92
    Activations Density 0.030%

    No Known Activations