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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. 7-RES-JB
    11. 1842
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    INDEX
    Explanations

    explanations or reasons for various observed phenomena or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate explanations for various phenomena or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sha
    -0.82
    abase
    -0.76
    heit
    -0.70
    umbing
    -0.69
    ubs
    -0.68
    liga
    -0.68
    iaries
    -0.67
    feld
    -0.67
    onds
    -0.66
    reau
    -0.66
    POSITIVE LOGITS
     existence
    0.91
     downfall
    0.91
     discrepancies
    0.91
     deaths
    0.88
     emergence
    0.86
     reluctance
    0.86
     demise
    0.86
     genesis
    0.85
     instability
    0.84
     uptick
    0.82
    Activations Density 0.269%

    No Known Activations