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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. 15734
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    Explanations

    references to specific company names or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to game engines or gaming discussions

    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
     Giov
    -0.71
    FORMATION
    -0.67
    lihood
    -0.67
    HAEL
    -0.66
    hua
    -0.65
    utral
    -0.63
    TPS
    -0.61
     tremend
    -0.61
    PER
    -0.61
     coli
    -0.61
    POSITIVE LOGITS
    uably
    1.41
    uments
    1.21
    emouth
    1.08
    ansas
    1.04
    raph
    0.99
    roup
    0.99
    uin
    0.89
    raphic
    0.88
    uable
    0.88
    azine
    0.87
    Activations Density 0.010%

    No Known Activations