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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. 4-RES-JB
    11. 20071
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    INDEX
    Explanations

    references to criminal activities or wrongdoings

    oai_token-act-pair · gpt-3.5-turbo

    references to serious offenses or atrocities

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

    No Comments

    Negative Logits
    ulous
    -0.79
    achev
    -0.76
    alg
    -0.76
    quickShipAvailable
    -0.75
    grad
    -0.75
    pole
    -0.74
    ihara
    -0.71
    flush
    -0.69
    atari
    -0.67
    zl
    -0.67
    POSITIVE LOGITS
     committed
    1.05
     perpetrated
    1.01
     punishable
    0.97
     crimes
    0.89
     spree
    0.86
     offences
    0.86
     offenses
    0.81
     against
    0.81
     victim
    0.80
     Victim
    0.79
    Activations Density 0.021%

    No Known Activations