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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. 11113
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    Explanations

    phrases related to factors influencing success in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to success and personal achievement

    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
    çīĪ
    -0.73
    swick
    -0.64
    anwhile
    -0.60
    weeney
    -0.58
    ĪĴ
    -0.58
    ndum
    -0.57
    vik
    -0.57
    sylv
    -0.57
    Nin
    -0.57
    velt
    -0.56
    POSITIVE LOGITS
     equation
    0.75
     determining
    0.74
     causation
    0.74
     determines
    0.66
     variables
    0.66
     wavelength
    0.63
     interaction
    0.62
     inherent
    0.62
     sensory
    0.61
     abstraction
    0.59
    Activations Density 1.193%

    No Known Activations