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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. 11046
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    INDEX
    Explanations

    clear and decisive statements or actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of clarity in statements or messages

    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
     tremend
    -0.96
    eatures
    -0.79
     Loft
    -0.74
     nostalg
    -0.72
    uld
    -0.72
    inse
    -0.70
    LI
    -0.69
     destro
    -0.67
     therap
    -0.67
    olt
    -0.65
    POSITIVE LOGITS
    ances
    1.26
    cut
    1.03
    ance
    1.00
    cuts
    0.89
    headed
    0.85
    iary
    0.84
     indication
    0.83
     skies
    0.81
    cutting
    0.78
     sailing
    0.77
    Activations Density 0.039%

    No Known Activations