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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. 19624
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    Explanations

    words related to attracting or enticing someone

    oai_token-act-pair · gpt-3.5-turbo

    terms related to luring or enticing individuals

    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
     PRESIDENT
    -0.69
    stood
    -0.68
    acterial
    -0.67
    arrow
    -0.66
    iop
    -0.66
    undred
    -0.66
    arna
    -0.66
    actions
    -0.64
    oret
    -0.63
    aration
    -0.63
    POSITIVE LOGITS
     lure
    1.32
     lured
    1.06
    GGGGGGGG
    0.89
     prey
    0.84
     bait
    0.78
    xtap
    0.75
     unsuspecting
    0.71
    glers
    0.71
     tempt
    0.71
    EStream
    0.70
    Activations Density 0.010%

    No Known Activations