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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. 10-RES-JB
    11. 23509
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    Explanations

    actions related to completing tasks or achieving goals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "finish" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elled
    -0.72
    æ©Ł
    -0.71
    arov
    -0.68
    edia
    -0.68
    iji
    -0.68
    uli
    -0.67
    ansk
    -0.66
    arth
    -0.65
    cot
    -0.65
    ourage
    -0.64
    POSITIVE LOGITS
     touches
    0.87
     off
    0.75
     composing
    0.71
     compiling
    0.71
     chopping
    0.70
     translating
    0.69
     unfinished
    0.68
     College
    0.67
     installing
    0.66
     receiving
    0.65
    Activations Density 0.030%

    No Known Activations