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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. 3-RES-JB
    11. 9450
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    INDEX
    Explanations

    phrases related to conflict and ingredients or elements

    oai_token-act-pair · gpt-3.5-turbo

    elements related to conflict and competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¬¼
    -0.52
    jit
    -0.49
    sylv
    -0.48
    rament
    -0.48
    ¦
    -0.47
    ieri
    -0.47
    emonium
    -0.46
    ight
    -0.46
    obin
    -0.46
    unda
    -0.45
    POSITIVE LOGITS
     etc
    0.97
    etc
    0.67
    76561
    0.61
     Kinnikuman
    0.56
     aka
    0.52
    pmwiki
    0.51
    PsyNetMessage
    0.50
     respectively
    0.50
     Flavoring
    0.50
    Tel
    0.49
    Activations Density 0.825%

    No Known Activations