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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. 3-RES-JB
    11. 5821
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    Explanations

    phrases related to providing evidence or proof

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate proof or evidence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.82
    zie
    -0.78
     ILCS
    -0.75
    Vert
    -0.72
     Blooming
    -0.67
    à¦
    -0.64
    SHARE
    -0.63
     Rout
    -0.63
    lance
    -0.63
    roman
    -0.63
    POSITIVE LOGITS
     validity
    0.84
    evidence
    0.75
     innocence
    0.74
     evidence
    0.73
     conclusive
    0.72
     factual
    0.72
     authenticity
    0.72
     efficacy
    0.72
     sincerity
    0.71
     dispro
    0.71
    Activations Density 0.235%

    No Known Activations