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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. 8-RES-JB
    11. 3934
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    Explanations

    dedicated or devoted mentions

    oai_token-act-pair · gpt-3.5-turbo

    words related to dedication and commitment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adish
    -0.70
    WARN
    -0.67
    inn
    -0.66
    uman
    -0.66
     Solomon
    -0.64
    corn
    -0.64
    estamp
    -0.63
     ASA
    -0.62
    Af
    -0.60
    天
    -0.58
    POSITIVE LOGITS
     devoted
    0.88
    itures
    0.87
     IPM
    0.87
    mble
    0.80
    oir
    0.77
    stant
    0.74
     dedicated
    0.74
    expr
    0.73
    duty
    0.73
    entious
    0.73
    Activations Density 0.035%

    No Known Activations