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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. 19377
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    Explanations

    words related to verbal communication, specifically focusing on instances of verbal harassment and abuse

    oai_token-act-pair · gpt-3.5-turbo

    references to verbal communication and its impact

    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
    akeru
    -0.81
    enthal
    -0.78
    arent
    -0.77
    annis
    -0.75
    roxy
    -0.74
    ress
    -0.73
    ernels
    -0.73
    alach
    -0.73
    resses
    -0.71
    adding
    -0.70
    POSITIVE LOGITS
     altercation
    0.98
    isations
    0.94
     verbal
    0.94
    ãĥ£
    0.94
    ized
    0.92
     cues
    0.86
    ization
    0.84
    izations
    0.82
    itatively
    0.79
     flu
    0.77
    Activations Density 0.006%

    No Known Activations