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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
    11. 9512
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    Explanations

    phrases related to beliefs or opinions

    oai_token-act-pair · gpt-3.5-turbo

    statements of personal belief or conviction

    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
    apeake
    -0.75
    details
    -0.74
    nice
    -0.72
    ement
    -0.68
    cloth
    -0.68
    yna
    -0.68
    pmwiki
    -0.67
    iere
    -0.65
    spr
    -0.64
    abb
    -0.63
    POSITIVE LOGITS
     passionately
    0.81
    phas
    0.73
    ieve
    0.73
    ieves
    0.73
    olate
    0.69
    ieving
    0.67
    ħ
    0.65
     compelled
    0.65
     belief
    0.64
     strongly
    0.64
    Activations Density 0.037%

    No Known Activations