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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5436
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    Explanations

    verbs related to enhancing or altering things, specifically emphasis on forceful or intentional actions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with mechanical and computational processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tu
    -0.74
    ãĤ«
    -0.72
    spot
    -0.68
    Nap
    -0.64
    amar
    -0.63
    Balt
    -0.63
    MSN
    -0.62
    numbered
    -0.61
     teasp
    -0.59
    nih
    -0.59
    POSITIVE LOGITS
    uate
    0.98
    enance
    0.98
     oneself
    0.94
    ments
    0.94
    ment
    0.88
    ably
    0.85
    ulate
    0.83
     yourself
    0.80
     yourselves
    0.73
     ourselves
    0.71
    Activations Density 0.146%

    No Known Activations