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    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. 16880
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    Explanations

    phrases of encouragement and compliments, particularly related to acknowledging good work or wishing luck

    oai_token-act-pair · gpt-3.5-turbo

    expressions of praise and good wishes

    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
    prov
    -0.84
    staking
    -0.77
    affiliated
    -0.73
    song
    -0.72
    ãĥĺãĥ©
    -0.72
    orno
    -0.70
    vertising
    -0.70
    split
    -0.69
    Ranked
    -0.68
    specific
    -0.68
    POSITIVE LOGITS
     sir
    1.03
    !
    0.94
     gentlemen
    0.89
     huh
    0.82
    !"
    0.78
    !,
    0.77
     guys
    0.77
    !]
    0.76
    !!!
    0.75
    !!
    0.75
    Activations Density 0.139%

    No Known Activations