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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. 1642
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    Explanations

    phrases related to the beginning of actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the initiation of actions or events

    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
    ses
    -0.76
    dad
    -0.66
    bey
    -0.66
    acho
    -0.66
    model
    -0.66
    ided
    -0.65
    ides
    -0.64
    uably
    -0.64
    bent
    -0.62
     bearer
    -0.60
    POSITIVE LOGITS
     anew
    1.05
     airing
    0.83
     PRESS
    0.78
    ezvous
    0.74
     preparations
    0.74
    ional
    0.74
    OCK
    0.71
     Phase
    0.71
    odcast
    0.68
    OURCE
    0.67
    Activations Density 0.077%

    No Known Activations