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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. 14470
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    Explanations

    mentions of tangible or physical objects or substances

    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
    llan
    -0.65
     Breaker
    -0.64
     Beam
    -0.64
     Jed
    -0.63
     Beard
    -0.63
    IELD
    -0.63
     Warriors
    -0.63
     lane
    -0.62
    ULTS
    -0.62
    ño
    -0.61
    POSITIVE LOGITS
    istic
    1.10
    ity
    1.10
    ized
    1.08
    izes
    1.08
    izing
    1.06
    ities
    1.04
    isations
    1.02
    istically
    1.00
    ised
    0.99
    izations
    0.97
    Activations Density 0.029%

    No Known Activations