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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. 10-RES-JB
    11. 8518
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    Explanations

    adjectives used to describe characteristics or qualities

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors related to characteristics and states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    earchers
    -0.68
    proven
    -0.63
    ittees
    -0.61
     Heard
    -0.59
    reon
    -0.58
    adr
    -0.58
    çīĪ
    -0.58
    Lost
    -0.58
    hig
    -0.57
    wan
    -0.56
    POSITIVE LOGITS
    ness
    1.63
    NESS
    1.28
    nesses
    1.25
    ity
    1.19
    ly
    1.01
    liness
    0.96
    ities
    0.92
     ones
    0.89
    est
    0.84
     versus
    0.82
    Activations Density 0.235%

    No Known Activations