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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. 4344
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    INDEX
    Explanations

    mentions of proper nouns and specific names, potentially related to sports or education

    oai_token-act-pair · gpt-3.5-turbo

    terms related to types of plants or botanical characteristics

    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
    ĪĴ
    -0.86
    ħĭ
    -0.83
    ĸļ
    -0.73
     rupture
    -0.71
     occas
    -0.69
    ACTED
    -0.69
    actionDate
    -0.66
     enactment
    -0.66
     doorstep
    -0.63
     deadline
    -0.63
    POSITIVE LOGITS
    ierrez
    0.92
    veland
    0.88
    grain
    0.83
    espie
    0.82
    agall
    0.82
    apon
    0.79
    raltar
    0.79
    ppe
    0.78
    esome
    0.77
    anan
    0.76
    Activations Density 0.319%

    No Known Activations