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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. 2-RES-JB
    11. 7611
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    Explanations

    terminologies related to criminal activities, particularly theft

    oai_token-act-pair · gpt-3.5-turbo

    references to thieves and robbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akeru
    -0.81
    zl
    -0.70
    ting
    -0.68
    ña
    -0.67
    inct
    -0.67
    condition
    -0.66
     Pwr
    -0.66
    ADRA
    -0.64
    formed
    -0.64
    emb
    -0.63
    POSITIVE LOGITS
     thieves
    1.17
     thief
    1.13
     Thieves
    1.05
     guild
    0.91
     beware
    0.90
     robbers
    0.89
     robber
    0.89
     prey
    0.88
    sonian
    0.86
     Thief
    0.84
    Activations Density 0.026%

    No Known Activations