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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. 14517
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    Explanations

    hyphenated phrases indicating a detailed breakdown or analysis

    oai_token-act-pair · gpt-3.5-turbo
    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
     cheated
    -0.68
    edIn
    -0.65
     rubbed
    -0.64
     wipes
    -0.63
     tucked
    -0.62
     penetrated
    -0.62
     pierced
    -0.61
    ONSORED
    -0.61
     searched
    -0.61
     laure
    -0.60
    POSITIVE LOGITS
    death
    0.98
    date
    0.95
    distance
    0.91
    expression
    0.90
    speech
    0.88
    dist
    0.88
    arms
    0.88
    air
    0.87
    the
    0.87
    equ
    0.84
    Activations Density 0.039%

    No Known Activations