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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. 12-RES-JB
    11. 2865
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    Explanations

    words related to events and activities happening at specific locations

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases related to actions and capabilities within a context, especially in relation to roles and responsibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iste
    -0.73
    icut
    -0.55
    bley
    -0.55
    nia
    -0.53
    ysis
    -0.51
    Leaks
    -0.51
    ANS
    -0.49
    mares
    -0.49
    cut
    -0.49
    inth
    -0.49
    POSITIVE LOGITS
     their
    1.18
    their
    1.16
     its
    1.15
     his
    1.15
     THEIR
    1.14
    his
    1.10
     your
    1.09
     our
    1.06
    your
    1.04
     her
    1.04
    Activations Density 1.642%

    No Known Activations