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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 44
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    Explanations

    suggestions or recommendations from text

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration or dissatisfaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alter
    -0.73
    Minor
    -0.63
    Interview
    -0.62
    TEXT
    -0.61
     Nicarag
    -0.58
    Moh
    -0.58
    ivari
    -0.57
    sth
    -0.55
     Wang
    -0.55
     Rih
    -0.55
    POSITIVE LOGITS
    */(
    0.79
    ngth
    0.79
    apter
    0.77
    odan
    0.73
    ELY
    0.72
     cheap
    0.71
     otherwise
    0.71
    Ô
    0.70
     surely
    0.70
    eways
    0.69
    Activations Density 0.680%

    No Known Activations