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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. 4-RES-JB
    11. 16190
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    Explanations

    phrases related to requesting or subscribing to information or content

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate requests or prompts to receive information

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

    No Comments

    Negative Logits
     defe
    -0.63
    NESS
    -0.61
     prophes
    -0.61
    chief
    -0.59
     Carpenter
    -0.58
    ean
    -0.58
    ridge
    -0.56
    è¦ļéĨĴ
    -0.55
     lik
    -0.54
     Lich
    -0.54
    POSITIVE LOGITS
    TING
    1.08
     rid
    1.05
    aways
    0.83
    away
    0.81
    cloneembedreportprint
    0.75
     acquainted
    0.75
     Started
    0.74
    ãĥ³ãĤ¸
    0.72
    zl
    0.71
     START
    0.70
    Activations Density 0.063%

    No Known Activations