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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. 4-RES-JB
    11. 1179
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    Explanations

    phrases related to significant change or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the consequences or outcomes of actions

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

    No Comments

    Negative Logits
     Hold
    -0.68
    Lens
    -0.61
     Mori
    -0.60
    CCC
    -0.60
    chens
    -0.60
    Write
    -0.59
    ammy
    -0.58
     Sharp
    -0.57
     Amos
    -0.57
     quote
    -0.57
    POSITIVE LOGITS
     halfway
    0.82
    anism
    0.77
    ional
    0.67
    sted
    0.67
     Seym
    0.66
    ocity
    0.66
     migr
    0.66
     convol
    0.66
     coerc
    0.65
    strate
    0.65
    Activations Density 0.044%

    No Known Activations