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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. 3-RES-JB
    11. 16591
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    INDEX
    Explanations

    references to explosives or traps

    oai_token-act-pair · gpt-3.5-turbo

    references to "booze" or alcoholic beverages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.86
    Interstitial
    -0.84
    âķIJ
    -0.79
    UTION
    -0.77
    HCR
    -0.73
     totality
    -0.72
    rity
    -0.70
    ãĤ»
    -0.70
    âĶģ
    -0.68
    orial
    -0.66
    POSITIVE LOGITS
    gey
    1.10
    jo
    0.97
    onga
    0.96
    zz
    0.96
     bo
    0.95
    oby
    0.95
    quet
    0.94
    ogie
    0.93
    agged
    0.85
    ambo
    0.85
    Activations Density 0.004%

    No Known Activations