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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
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    Explanations

    names of rivers and other geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rivers

    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
    iaries
    -0.90
    ISTER
    -0.72
    OSH
    -0.72
    ccording
    -0.72
    URA
    -0.71
    ECA
    -0.69
    ĻĤ
    -0.68
    ittal
    -0.67
    ahon
    -0.67
     tremend
    -0.66
    POSITIVE LOGITS
    bank
    1.18
     Basin
    1.16
     River
    1.13
     Gorge
    1.09
     Thames
    1.09
    banks
    1.04
    dale
    1.03
     Valley
    0.99
     valley
    0.93
     basin
    0.93
    Activations Density 0.014%

    No Known Activations