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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. 6-RES-JB
    11. 10848
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    INDEX
    Explanations

    references to beginning or starting something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to initiating or beginning an action or process

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owl
    -0.76
    bey
    -0.65
    houses
    -0.62
     entirety
    -0.61
    atu
    -0.60
    ographics
    -0.59
    ugs
    -0.59
    otropic
    -0.59
    othy
    -0.59
    ighth
    -0.58
    POSITIVE LOGITS
     anew
    0.77
    nings
    0.76
     sidx
    0.73
    ESSION
    0.72
     experimenting
    0.72
    reprene
    0.71
    igmatic
    0.71
    TAIN
    0.68
    chedel
    0.66
    phase
    0.66
    Activations Density 0.029%

    No Known Activations