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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. 3-RES-JB
    11. 9482
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    Explanations

    words related to verbal cues or instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to cues and signals in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ILCS
    -0.88
    poons
    -0.71
     Armenian
    -0.66
    Constructed
    -0.64
     carriers
    -0.63
     wills
    -0.63
     caregivers
    -0.62
     Grain
    -0.60
    aimon
    -0.59
     ($)
    -0.59
    POSITIVE LOGITS
    ball
    1.02
    balls
    0.95
    vous
    0.89
    pees
    0.88
    icion
    0.82
    pee
    0.81
     Cue
    0.79
    eering
    0.79
    reon
    0.76
     Doodle
    0.76
    Activations Density 0.024%

    No Known Activations