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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. 1-RES-JB
    11. 21215
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    Explanations

    references to conferences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of conferences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gettable
    -0.72
     destro
    -0.71
     poisoning
    -0.65
    emis
    -0.64
     winding
    -0.64
    cedented
    -0.64
    ym
    -0.63
    gil
    -0.63
    terday
    -0.63
    tesy
    -0.63
    POSITIVE LOGITS
     Conference
    1.29
     Convention
    0.95
     conference
    0.95
     Finals
    0.92
    eers
    0.92
     conferences
    0.87
     Communication
    0.86
     Committee
    0.83
    -+-+
    0.81
    ference
    0.80
    Activations Density 0.011%

    No Known Activations