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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. 1824
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    Explanations

    references to valuable or significant resources

    oai_token-act-pair · gpt-3.5-turbo

    references to natural resources

    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
    atta
    -0.67
    clair
    -0.65
    inged
    -0.64
    KY
    -0.63
    ince
    -0.63
    antis
    -0.63
    assis
    -0.62
    uay
    -0.62
    ivo
    -0.62
    iry
    -0.61
    POSITIVE LOGITS
     resources
    3.69
     Resources
    2.53
     resource
    2.41
    resources
    2.32
    Resources
    2.18
    resource
    1.89
     Resource
    1.86
     assets
    1.83
    Resource
    1.72
     manpower
    1.49
    Activations Density 0.013%

    No Known Activations