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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. 7-RES-JB
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    Explanations

    phrases related to peaceful intentions or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to peacefulness in various contexts

    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
    ails
    -0.80
    è¦ļéĨĴ
    -0.73
    olls
    -0.71
    MAC
    -0.69
    odor
    -0.67
     nause
    -0.67
    ulas
    -0.66
    mal
    -0.66
    ravings
    -0.65
    oglobin
    -0.65
    POSITIVE LOGITS
     peaceful
    0.87
     minded
    0.83
    peace
    0.78
    ness
    0.77
    \\\\\\\\
    0.76
    edIn
    0.76
    keeping
    0.74
    haven
    0.74
     disarm
    0.73
    edom
    0.73
    Activations Density 0.019%

    No Known Activations