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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. 24042
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    Explanations

    phrases related to criminal activities or schemes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to deception and illegal activities

    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
    urst
    -0.70
    iesel
    -0.69
    uana
    -0.68
    aways
    -0.66
    ULTS
    -0.65
    iencies
    -0.64
    Cath
    -0.63
    APS
    -0.62
    ÃŃs
    -0.60
    unit
    -0.59
    POSITIVE LOGITS
    eers
    1.53
    eer
    1.43
    eering
    1.29
    ographed
    0.86
    ket
    0.83
    nels
    0.81
    eenth
    0.80
     hoops
    0.80
    ablishment
    0.80
    horn
    0.80
    Activations Density 0.020%

    No Known Activations