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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. 4-RES-JB
    11. 7791
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    Explanations

    phrases related to motivating or encouraging people

    oai_token-act-pair · gpt-3.5-turbo

    the concept of inspiration in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Nanto
    -0.79
    ©¶æ
    -0.74
     poss
    -0.61
    rox
    -0.59
    usterity
    -0.59
    abases
    -0.59
    aird
    -0.59
    othy
    -0.59
    erenn
    -0.58
    secution
    -0.58
    POSITIVE LOGITS
     inspiring
    0.98
     inspire
    0.94
     Cosponsors
    0.85
     inspires
    0.83
    iration
    0.82
     awe
    0.82
     inspiration
    0.81
    urated
    0.79
    urous
    0.76
     prompt
    0.75
    Activations Density 0.013%

    No Known Activations