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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. 17737
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    Explanations

    phrases related to showing or demonstrating something to someone

    oai_token-act-pair · gpt-3.5-turbo

    references to characters or people being shown or introduced in various contexts

    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
     Anxiety
    -0.68
    semble
    -0.68
     Carrie
    -0.64
    semb
    -0.63
    ente
    -0.62
     Centers
    -0.62
    iston
    -0.61
     impact
    -0.59
     stopp
    -0.59
     cluster
    -0.59
    POSITIVE LOGITS
    selves
    0.73
    rov
    0.70
    ov
    0.68
    aught
    0.67
    âĸij
    0.67
    self
    0.66
    aeper
    0.66
    arov
    0.65
    flix
    0.65
    owitz
    0.65
    Activations Density 0.080%

    No Known Activations