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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. 4468
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    Explanations

    numeric figures indicating the level of presence or participation in events or activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of attendance at events or gatherings

    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
    grave
    -0.74
    geon
    -0.70
    imov
    -0.67
    enthal
    -0.66
    thodox
    -0.66
    itars
    -0.64
    imb
    -0.64
    pex
    -0.62
    olog
    -0.62
    berman
    -0.61
    POSITIVE LOGITS
     attendance
    1.02
     Attend
    1.01
    enance
    0.79
     attendees
    0.77
    oided
    0.75
     Tickets
    0.74
     attend
    0.72
     tickets
    0.72
     attends
    0.70
    uates
    0.69
    Activations Density 0.008%

    No Known Activations