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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. 4-RES-JB
    11. 20662
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    Explanations

    terms related to specific entities or concepts in a structured context

    oai_token-act-pair · gpt-3.5-turbo

    specific entities and categorizations related to various subjects, such as politics, geography, and demographics

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

    No Comments

    Negative Logits
    actic
    -0.53
    igious
    -0.52
    oidal
    -0.49
    theless
    -0.46
    amsung
    -0.45
    ODUCT
    -0.44
    },"
    -0.44
    astical
    -0.44
    itual
    -0.43
    iblical
    -0.43
    POSITIVE LOGITS
    eworks
    0.60
    tracks
    0.53
    ="#
    0.51
    antam
    0.49
    stice
    0.47
    iors
    0.47
    izont
    0.46
    itions
    0.46
    caster
    0.46
    iour
    0.46
    Activations Density 1.392%

    No Known Activations