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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. 7-RES-JB
    11. 9467
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    INDEX
    Explanations

    mistakes or errors, often emphasizing negative consequences

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to choices, intentions, and the consequences of actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kats
    -0.67
    avorite
    -0.65
    vez
    -0.64
    uba
    -0.62
    ockets
    -0.60
    uma
    -0.59
    aples
    -0.59
    irie
    -0.59
    BW
    -0.55
    chel
    -0.55
    POSITIVE LOGITS
     assumption
    0.75
    onym
    0.72
    ultimate
    0.70
    lessness
    0.68
     caveat
    0.67
    liest
    0.65
     refrain
    0.61
     implication
    0.61
     presumption
    0.60
    ossibility
    0.60
    Activations Density 0.287%

    No Known Activations