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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. 2-RES-JB
    11. 4395
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    INDEX
    Explanations

    phrases related to challenges or obstacles

    oai_token-act-pair · gpt-3.5-turbo

    references to difficulty or challenges in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    collar
    -0.76
    ortium
    -0.76
    gone
    -0.76
    rum
    -0.72
    ammad
    -0.71
    essen
    -0.70
    lasses
    -0.67
    rium
    -0.66
    ergy
    -0.66
    oak
    -0.66
    POSITIVE LOGITS
    iculty
    1.43
     difficulty
    1.07
    icult
    1.06
     difficulties
    1.04
     Difficulty
    0.85
    ioned
    0.73
     hurdle
    0.71
     comprom
    0.70
    itaire
    0.70
    cffffcc
    0.70
    Activations Density 0.009%

    No Known Activations