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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. 8393
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    Explanations

    phrases related to getting rid of something or someone

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the action of getting rid of something

    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
    anova
    -0.63
     Brothers
    -0.62
    istry
    -0.60
    vo
    -0.60
    Army
    -0.58
    **
    -0.58
    eva
    -0.58
    igma
    -0.57
    RPG
    -0.56
    ITION
    -0.56
    POSITIVE LOGITS
     rid
    4.08
     Rid
    1.17
     ridge
    1.07
     purge
    0.90
     reven
    0.89
     detach
    0.87
     rob
    0.85
     eliminated
    0.84
     dispose
    0.84
     eliminate
    0.83
    Activations Density 0.015%

    No Known Activations