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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. 11-RES-JB
    11. 120
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    Explanations

    words related to additional information or features

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce additional information or elaboration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ggles
    -0.62
    _>
    -0.54
    cised
    -0.52
    bis
    -0.52
    asus
    -0.51
    bang
    -0.51
    tails
    -0.51
    aah
    -0.51
    uked
    -0.50
    venge
    -0.50
    POSITIVE LOGITS
     thereto
    1.05
     to
    1.00
     TO
    0.71
    ,
    0.63
     To
    0.62
    ,.
    0.62
    to
    0.62
    ombat
    0.61
    To
    0.60
     ot
    0.59
    Activations Density 0.035%

    No Known Activations