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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. 24572
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    Explanations

    descriptive adjectives indicating a sense of urgency or extreme need

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the term "desperate" in various contexts

    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
    roma
    -0.82
    rats
    -0.78
    rust
    -0.78
    ership
    -0.76
    friend
    -0.74
    icipated
    -0.73
    sama
    -0.73
    oak
    -0.72
    agree
    -0.72
    trust
    -0.69
    POSITIVE LOGITS
     plea
    0.77
     desperation
    0.77
     conflic
    0.77
     situations
    0.75
     scramble
    0.75
     desperate
    0.74
     pleading
    0.73
     desper
    0.72
     Measures
    0.72
     pleas
    0.72
    Activations Density 0.023%

    No Known Activations