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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. 13268
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    INDEX
    Explanations

    terms related to significant or impactful events and activities

    oai_token-act-pair · gpt-3.5-turbo

    constructions relating to beliefs or significant points

    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
    Recomm
    -0.77
    itates
    -0.74
    Adds
    -0.74
    uces
    -0.69
     doesnt
    -0.68
    eals
    -0.64
     assumes
    -0.63
     DOES
    -0.62
     asks
    -0.62
     hears
    -0.61
    POSITIVE LOGITS
     have
    1.21
     were
    1.20
    have
    1.18
    were
    1.13
    've
    1.09
     are
    1.05
     haven
    1.04
     blew
    1.00
     weren
    1.00
     overcame
    1.00
    Activations Density 0.538%

    No Known Activations