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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. 6-RES-JB
    11. 886
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    INDEX
    Explanations

    references to the possibility of an action or outcome

    oai_token-act-pair · gpt-3.5-turbo

    expressions of possibility or potential outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bane
    -0.93
    bey
    -0.89
    waters
    -0.82
    eye
    -0.78
    ĪĴ
    -0.76
    bow
    -0.74
    cig
    -0.74
    cipl
    -0.73
    phas
    -0.71
    ciating
    -0.70
    POSITIVE LOGITS
    ¶
    0.67
    .>>
    0.65
     âĶĤ
    0.65
     understatement
    0.65
    ities
    0.63
     undo
    0.62
    terday
    0.62
    alities
    0.61
     infer
    0.61
     Nora
    0.61
    Activations Density 0.031%

    No Known Activations