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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. 9-RES-JB
    11. 14304
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    INDEX
    Explanations

    sentences with strong emotions and ideologies

    oai_token-act-pair · gpt-3.5-turbo

    assertive statements about intentions and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hindsight
    -0.65
    asta
    -0.62
     dated
    -0.61
    ournals
    -0.60
    opus
    -0.60
    ĸļ
    -0.59
    ĻĤ
    -0.58
    aq
    -0.58
     lately
    -0.57
    malink
    -0.55
    POSITIVE LOGITS
     will
    1.52
    will
    1.51
     SHALL
    1.36
    Will
    1.32
     WILL
    1.31
    'll
    1.20
     Will
    1.14
    shall
    1.05
     shall
    1.02
     TBA
    0.92
    Activations Density 0.581%

    No Known Activations