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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3413
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    Explanations

    instances where a situation or outcome is described as being influenced by specific factors

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "given" indicating reasoning or conditions in arguments

    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
    addle
    -0.74
    ereo
    -0.71
    quin
    -0.69
    ashington
    -0.66
    Bay
    -0.65
    Phoenix
    -0.64
    achel
    -0.63
    acc
    -0.63
    imming
    -0.63
    iami
    -0.62
    POSITIVE LOGITS
    pend
    0.82
     precedence
    0.81
    giving
    0.75
     precedent
    0.73
    aways
    0.70
     away
    0.68
    ¶æ
    0.67
    bidden
    0.67
    away
    0.66
     circumstances
    0.64
    Activations Density 0.022%

    No Known Activations