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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. 8-RES-JB
    11. 421
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    Explanations

    phrases related to flexibility and adaptability

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to flexibility and adaptability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nant
    -0.61
    ves
    -0.59
     Kits
    -0.59
    ict
    -0.58
    nar
    -0.58
    lyak
    -0.58
    asel
    -0.58
    leased
    -0.58
     Tate
    -0.57
    fff
    -0.57
    POSITIVE LOGITS
     afforded
    0.97
    ateral
    0.88
    iveness
    0.86
     inherent
    0.86
    iness
    0.84
    yip
    0.78
     amongst
    0.76
    fulness
    0.73
    ality
    0.73
    ability
    0.71
    Activations Density 0.220%

    No Known Activations