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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. 0-RES-JB
    11. 19980
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    Explanations

    words related to a specific brand or product name

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "envy" related to paintball or playful competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sol
    -0.61
     memory
    -0.61
     residual
    -0.60
     recapt
    -0.60
     sentences
    -0.59
     Investigator
    -0.59
     repatri
    -0.59
     hide
    -0.58
     Lantern
    -0.58
     tap
    -0.57
    POSITIVE LOGITS
    vy
    4.67
    va
    1.38
    vu
    1.34
    vv
    1.24
    vana
    1.24
    vo
    1.21
    vs
    1.21
    ves
    1.21
    v
    1.20
    vey
    1.18
    Activations Density 0.015%

    No Known Activations