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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. 7-RES-JB
    11. 9148
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    INDEX
    Explanations

    phrases related to various actions and events happening

    oai_token-act-pair · gpt-3.5-turbo

    instances of personal experiences and reflections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     marquee
    -0.66
    Launch
    -0.64
     kickoff
    -0.63
     unveiling
    -0.63
    GHz
    -0.63
    rocket
    -0.61
    itialized
    -0.60
     unveiled
    -0.60
    Thumbnail
    -0.59
     Launch
    -0.59
    POSITIVE LOGITS
     Victim
    0.82
     subconscious
    0.78
    xual
    0.76
     fallacy
    0.73
     Rape
    0.72
     abuser
    0.71
     informants
    0.71
     behav
    0.71
     Freud
    0.70
     narciss
    0.69
    Activations Density 1.497%

    No Known Activations