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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. 7-RES-JB
    11. 8984
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    Explanations

    phrases related to clearing or completion of tasks or spaces

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "clearing" or removal processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ENTS
    -0.77
    Lenin
    -0.71
    egal
    -0.70
    ENT
    -0.69
    SON
    -0.66
    ingo
    -0.65
    ITAL
    -0.65
    ISON
    -0.64
    LI
    -0.63
    Bey
    -0.63
    POSITIVE LOGITS
     clears
    0.92
     waivers
    0.90
    houses
    0.86
    ances
    0.81
     cleared
    0.79
    cloth
    0.78
    ewater
    0.77
    house
    0.76
    cuts
    0.76
    housing
    0.72
    Activations Density 0.033%

    No Known Activations