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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. 3-RES-JB
    11. 15409
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    Explanations

    phrases related to technical malfunctions or faults

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating occurrences or significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulous
    -0.51
     explanations
    -0.48
     Err
    -0.46
    exclusive
    -0.46
    ittal
    -0.46
     spoilers
    -0.45
     Explan
    -0.44
    iversary
    -0.44
    ividual
    -0.44
     explanation
    -0.44
    POSITIVE LOGITS
     theirs
    0.54
    Joined
    0.52
    entimes
    0.44
     tires
    0.43
     akin
    0.43
     overturned
    0.43
    Built
    0.43
    cellence
    0.42
    GMT
    0.42
     extraord
    0.39
    Activations Density 5.969%

    No Known Activations