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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. 8608
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    Explanations

    phrases expressing collective knowledge or action

    oai_token-act-pair · gpt-3.5-turbo

    references to collective experiences or sentiments shared by a group

    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
    luster
    -0.75
    ahime
    -0.65
     arresting
    -0.65
     strang
    -0.65
     Gors
    -0.64
    yip
    -0.62
    cible
    -0.60
     CLR
    -0.60
     Rouge
    -0.60
     Yar
    -0.59
    POSITIVE LOGITS
    ocating
    1.19
    ocated
    0.95
    together
    0.91
    iances
    0.89
     alike
    0.86
    ocation
    0.85
     agree
    0.80
     smiles
    0.79
     kinds
    0.78
    igators
    0.78
    Activations Density 0.045%

    No Known Activations