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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. 10-RES-JB
    11. 24554
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    Explanations

    text related to signs, specifically focusing on phrases related to messages written on signs

    oai_token-act-pair · gpt-3.5-turbo

    references to signs and signage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Remastered
    -0.67
    ulu
    -0.65
    perty
    -0.65
     DRAG
    -0.64
    @#&
    -0.61
    abama
    -0.60
    illes
    -0.60
    «ĺ
    -0.59
    cffffcc
    -0.59
     Pwr
    -0.58
    POSITIVE LOGITS
    atories
    1.24
    posted
    1.19
    posts
    1.19
    ifier
    1.18
    ifiers
    1.17
    post
    1.14
    atory
    1.06
    ifying
    1.06
    ifi
    0.95
    alled
    0.94
    Activations Density 0.031%

    No Known Activations