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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. 7-RES-JB
    11. 15345
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    INDEX
    Explanations

    specific references to well-known landmarks or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating notable locations or legal implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĶ°
    -0.66
    }.
    -0.61
     interven
    -0.61
    !).
    -0.59
     vou
    -0.55
     extraord
    -0.54
    staking
    -0.54
    ALSE
    -0.54
    Interstitial
    -0.53
    anwhile
    -0.52
    POSITIVE LOGITS
    amily
    0.65
    versive
    0.60
    ratom
    0.57
     Princ
    0.54
     workforce
    0.53
    anchester
    0.52
    plet
    0.51
    entials
    0.51
    assets
    0.51
    problem
    0.50
    Activations Density 1.346%

    No Known Activations