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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. 0-RES-JB
    11. 18808
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    Explanations

    words related to failure or struggle

    oai_token-act-pair · gpt-3.5-turbo

    terms related to failure or shortcomings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sy
    -0.63
     insert
    -0.62
     MP
    -0.61
     sensors
    -0.60
     Smart
    -0.59
     Proposition
    -0.58
    Sy
    -0.58
     Scand
    -0.57
     inject
    -0.57
     allot
    -0.56
    POSITIVE LOGITS
    ailing
    4.44
    ailed
    2.91
    ails
    2.69
    ail
    2.24
    ailable
    1.54
    ipping
    1.23
    anging
    1.22
    itting
    1.17
    ailability
    1.12
    apping
    1.08
    Activations Density 0.012%

    No Known Activations