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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. 9-RES-JB
    11. 8642
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    Explanations

    verbs related to actions like sending or bringing in

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "bring in"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =]
    -0.81
    Ring
    -0.75
    catentry
    -0.69
    esa
    -0.67
    NOW
    -0.66
     COUR
    -0.64
    ymm
    -0.64
    orius
    -0.63
    %%
    -0.63
    MQ
    -0.62
    POSITIVE LOGITS
    ordinate
    0.97
    animate
    0.96
     reinforcements
    0.91
     lieu
    0.90
     excess
    0.87
    clusions
    0.77
    escap
    0.75
    umbn
    0.75
     extra
    0.70
     vitro
    0.70
    Activations Density 0.070%

    No Known Activations