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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. 4-RES-JB
    11. 21995
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    Explanations

    realize/realizing verbs followed by a realization or understanding

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "realize" and its variations

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

    No Comments

    Negative Logits
    ĪĴ
    -0.86
     clipboard
    -0.76
    picking
    -0.72
     wrists
    -0.71
    reen
    -0.69
     prosecutor
    -0.67
    cgi
    -0.64
    ciating
    -0.63
     solicitor
    -0.63
    conservancy
    -0.62
    POSITIVE LOGITS
     realize
    0.89
     realise
    0.88
    ledged
    0.87
    âĶģ
    0.85
    urities
    0.83
     realizes
    0.81
    ensional
    0.81
     realized
    0.80
     realised
    0.79
    ISION
    0.79
    Activations Density 0.026%

    No Known Activations