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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. 12463
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    Explanations

    phrases related to expressing opinions or arguments

    oai_token-act-pair · gpt-3.5-turbo

    commas in complex sentence structures

    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
     concess
    -0.78
    EngineDebug
    -0.70
    rid
    -0.67
     readings
    -0.67
     output
    -0.64
    Output
    -0.64
     outputs
    -0.63
    reth
    -0.61
     ausp
    -0.60
    eco
    -0.59
    POSITIVE LOGITS
     whom
    1.18
     Jr
    1.15
    who
    1.07
     Sr
    1.04
     who
    1.01
    Jr
    0.98
    whose
    0.94
     whose
    0.91
     aka
    0.84
    doms
    0.78
    Activations Density 0.349%

    No Known Activations