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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. 1-RES-JB
    11. 871
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    Explanations

    proper nouns related to explosive devices and events

    oai_token-act-pair · gpt-3.5-turbo

    references to bombs and bomb-related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĶ°
    -0.84
    æĢ
    -0.82
    CE
    -0.82
    Interstitial
    -0.81
    KEY
    -0.79
    Madison
    -0.79
    OPE
    -0.78
    æł
    -0.78
    VID
    -0.77
    HCR
    -0.75
    POSITIVE LOGITS
     Bomb
    1.17
    bomb
    1.06
    Bomb
    1.02
    arded
    0.95
    ombat
    0.93
    ard
    0.90
    arding
    0.85
    zeb
    0.85
     Bomber
    0.84
     bombed
    0.83
    Activations Density 0.005%

    No Known Activations