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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. 2330
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    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
    YA
    -0.82
     Goff
    -0.73
    HOU
    -0.71
    reek
    -0.70
    cape
    -0.67
    seless
    -0.65
     Fore
    -0.65
    SHIP
    -0.64
    ROR
    -0.62
    GROUND
    -0.62
    POSITIVE LOGITS
    orial
    1.34
    ises
    1.26
    isations
    1.10
    ising
    1.07
    isation
    1.06
    ised
    1.02
    isers
    1.02
    izes
    0.94
    inos
    0.94
    izations
    0.92
    Activations Density 0.018%

    No Known Activations