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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. 1-RES-JB
    11. 2559
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    Explanations

    phrases related to signals

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of signals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sm
    -0.72
    ucket
    -0.68
    isf
    -0.65
    igs
    -0.65
    ":"/
    -0.64
    paragraph
    -0.63
    lections
    -0.63
    ilts
    -0.63
    ean
    -0.62
    cest
    -0.62
    POSITIVE LOGITS
     signals
    1.27
     signal
    1.26
     Signal
    0.95
     signalling
    0.94
     signaling
    0.83
     cue
    0.78
     mosqu
    0.77
     signs
    0.77
     indication
    0.77
    ÑĮ
    0.77
    Activations Density 0.009%

    No Known Activations