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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. 12329
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    Explanations

    references to specific incidents or events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of an unspecified incident

    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
    emouth
    -0.85
    ularity
    -0.83
    heit
    -0.83
    azy
    -0.79
    icrobial
    -0.78
    tsky
    -0.77
    leaf
    -0.77
    ichick
    -0.77
    veland
    -0.76
    oliberal
    -0.76
    POSITIVE LOGITS
     involving
    1.09
     perpetrated
    0.90
     occurred
    0.83
    uality
    0.82
     incident
    0.81
     incidents
    0.79
     occurring
    0.78
     happened
    0.78
    uates
    0.76
    Dialogue
    0.74
    Activations Density 0.031%

    No Known Activations