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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. 15346
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    Explanations

    instances related to transportation systems, particularly involving subways or rapid transit

    oai_token-act-pair · gpt-3.5-turbo

    references to infrastructure or systems related to transportation

    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
     honor
    -0.73
     innocence
    -0.68
     honour
    -0.67
    ãģĤ
    -0.66
    ĸļ
    -0.64
     cannibal
    -0.63
     anthology
    -0.62
     Pupp
    -0.61
     refusal
    -0.61
     orphans
    -0.60
    POSITIVE LOGITS
    anwhile
    0.93
    uries
    0.79
    abytes
    0.77
    urgy
    0.77
    rex
    0.76
    chnology
    0.75
    opol
    0.74
    rules
    0.73
    utical
    0.71
    cular
    0.71
    Activations Density 0.157%

    No Known Activations