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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    mentions of the state of Michigan

    oai_token-act-pair · gpt-3.5-turbo

    references to the state of Michigan

    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
    istics
    -0.89
    tenance
    -0.67
    footed
    -0.67
     depreciation
    -0.65
     pointer
    -0.65
     Defenders
    -0.64
     Confederation
    -0.64
    culosis
    -0.63
    FACE
    -0.63
    BALL
    -0.62
    POSITIVE LOGITS
    ille
    1.06
    Mich
    0.98
    onne
    0.91
    elle
    0.90
    olt
    0.88
    alis
    0.88
    ub
    0.85
    iko
    0.85
    ira
    0.84
    ok
    0.84
    Activations Density 0.052%

    No Known Activations