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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. 9-RES-JB
    11. 9989
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    Explanations

    references to ticket sales or ticketing services

    oai_token-act-pair · gpt-3.5-turbo

    references to ticket sales and availability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     advers
    -0.65
     teamwork
    -0.64
    ths
    -0.64
     bip
    -0.64
     motto
    -0.63
     Schne
    -0.63
    lly
    -0.61
     competence
    -0.61
    KNOWN
    -0.60
     productivity
    -0.59
    POSITIVE LOGITS
     Tickets
    1.01
     tickets
    0.95
     holders
    0.93
     Frie
    0.91
    Tickets
    0.91
    ticket
    0.91
     Ticket
    0.89
     holder
    0.84
     stub
    0.82
     ticket
    0.81
    Activations Density 0.053%

    No Known Activations