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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. 8-RES-JB
    11. 6321
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    Explanations

    phrases related to change or progression

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the emergence or development of concepts and phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ukrain
    -0.66
    bor
    -0.61
     Dynam
    -0.59
     Crus
    -0.58
    ailability
    -0.58
     Rabbit
    -0.57
    Haw
    -0.57
     POW
    -0.56
     fix
    -0.56
    akedown
    -0.56
    POSITIVE LOGITS
    actionDate
    0.83
    ocument
    0.80
    ctuary
    0.72
     thereto
    0.70
    ENCE
    0.68
    encia
    0.68
    thood
    0.68
    ounter
    0.67
    rils
    0.66
    heit
    0.66
    Activations Density 0.077%

    No Known Activations