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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. 6-RES-JB
    11. 3119
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    INDEX
    Explanations

    self-reflective and introspective statements

    oai_token-act-pair · gpt-3.5-turbo

    instances of self-reflection and personal responsibility statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •self and identity

    No Comments

    Negative Logits
    代
    -0.72
    PI
    -0.69
    éĹĺ
    -0.67
    dayName
    -0.65
    oided
    -0.65
    kat
    -0.64
    arettes
    -0.64
    ãĤµ
    -0.64
    tnc
    -0.64
    911
    -0.63
    POSITIVE LOGITS
     nonetheless
    0.99
     nevertheless
    0.83
    etheless
    0.83
     alas
    0.81
     persisted
    0.80
     persists
    0.78
     curiously
    0.77
    tons
    0.76
    chers
    0.76
     importantly
    0.74
    Activations Density 0.262%

    No Known Activations