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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. 6-RES-JB
    11. 7401
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     forbid
    -0.62
    inyl
    -0.61
     advis
    -0.61
     relic
    -0.60
    emia
    -0.59
     pity
    -0.59
    control
    -0.58
     crucifix
    -0.58
    illard
    -0.57
     grad
    -0.56
    POSITIVE LOGITS
    SAM
    0.68
     Guer
    0.66
     Hamm
    0.65
     Volks
    0.64
     Alone
    0.64
     Foot
    0.62
     preceding
    0.61
    LAN
    0.60
     Berm
    0.60
     Explorer
    0.60
    Activations Density 0.269%

    No Known Activations