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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. 2-RES-JB
    11. 18770
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    Explanations

    references to support, endorsement, or agreement

    oai_token-act-pair · gpt-3.5-turbo

    references to support or endorsement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awk
    -0.78
    tein
    -0.74
    odor
    -0.69
    ppa
    -0.67
    hester
    -0.67
    apy
    -0.66
     Hebdo
    -0.65
    uria
    -0.65
    chin
    -0.64
    orp
    -0.64
    POSITIVE LOGITS
     backing
    0.90
    GROUND
    0.75
    backed
    0.74
    swing
    0.74
    lash
    0.74
    drops
    0.73
    track
    0.73
    country
    0.72
     backed
    0.72
    abies
    0.71
    Activations Density 0.006%

    No Known Activations