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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. 7-RES-JB
    11. 2777
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    Explanations

    verbs related to persuasion and influence

    oai_token-act-pair · gpt-3.5-turbo

    words related to deception and persuasion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mite
    -0.63
    ynski
    -0.62
    dx
    -0.61
    venant
    -0.60
    Û
    -0.59
     pend
    -0.58
    issues
    -0.58
     ante
    -0.57
     sidx
    -0.57
    oner
    -0.56
    POSITIVE LOGITS
     him
    1.17
     us
    1.15
     viewers
    1.07
     customers
    1.02
     readers
    1.02
     listeners
    1.02
     everyone
    0.98
     unsuspecting
    0.97
     consumers
    0.96
     passers
    0.96
    Activations Density 0.428%

    No Known Activations