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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. 9-RES-JB
    11. 5954
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lockout
    -0.72
    FORMATION
    -0.66
     constrained
    -0.66
     Reloaded
    -0.64
     downhill
    -0.63
     restricted
    -0.62
    INGTON
    -0.60
     Trilogy
    -0.59
     "$:/
    -0.59
    Override
    -0.59
    POSITIVE LOGITS
    ivalry
    1.30
    ieft
    1.26
    amps
    1.26
    orus
    1.23
    angel
    1.23
    assis
    1.19
    unks
    1.17
    ivas
    1.16
    owder
    1.14
    annels
    1.13
    Activations Density 0.024%

    No Known Activations