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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. 1-RES-JB
    11. 18068
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    Explanations

    phrases related to incidents or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.83
    ramid
    -0.75
    tsky
    -0.72
    protein
    -0.72
    reens
    -0.71
    heit
    -0.71
    phabet
    -0.71
    zyme
    -0.70
    alach
    -0.70
    hab
    -0.70
    POSITIVE LOGITS
     incidents
    1.17
     occurrences
    0.89
     involving
    0.89
     incident
    0.87
    rences
    0.78
    ashtra
    0.78
     accidents
    0.76
     occurrence
    0.74
     instances
    0.72
    laughter
    0.71
    Activations Density 0.009%

    No Known Activations