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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. 11-RES-JB
    11. 21295
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    INDEX
    Explanations

    physical actions involving force or impact

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement or criminal activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imei
    -0.83
    ãĤ´ãĥ³
    -0.79
    htt
    -0.76
    illet
    -0.76
    Month
    -0.73
    sbm
    -0.73
    HCR
    -0.71
    ARB
    -0.67
    atural
    -0.67
    INESS
    -0.67
    POSITIVE LOGITS
     retreating
    1.07
     occupants
    1.02
     unsuspecting
    1.01
     camer
    1.00
     handcuffed
    0.99
     railing
    0.98
     camera
    0.96
     crowd
    0.94
     assailant
    0.92
     occupant
    0.92
    Activations Density 0.229%

    No Known Activations