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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. 4-RES-JB
    11. 14225
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    Explanations

    phrases related to the impact of actions or events

    oai_token-act-pair · gpt-3.5-turbo

    references to impacts and effects on various subjects and scenarios

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

    No Comments

    Negative Logits
    DragonMagazine
    -0.70
    çļ
    -0.68
    NAS
    -0.67
    prototype
    -0.67
    Haunted
    -0.66
    aniel
    -0.65
    milo
    -0.65
    fab
    -0.65
    ADRA
    -0.64
    asus
    -0.64
    POSITIVE LOGITS
     perception
    0.83
     undue
    0.82
     perceptions
    0.81
     psyche
    0.76
     impacts
    0.72
     negatively
    0.71
     environment
    0.71
     financially
    0.70
     behav
    0.70
     psychologically
    0.69
    Activations Density 0.274%

    No Known Activations