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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. 6-RES-JB
    11. 18943
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    Explanations

    information about product features and specifications

    oai_token-act-pair · gpt-3.5-turbo

    key indicators of positive and negative aspects in reviews or evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.85
     doub
    -0.82
    20439
    -0.72
    adra
    -0.65
    acan
    -0.64
     Bie
    -0.61
    ooked
    -0.61
    ido
    -0.60
    netflix
    -0.59
    ween
    -0.59
    POSITIVE LOGITS
    :-
    0.79
    Appearance
    0.76
    Overall
    0.75
    ------------------------------------------------
    0.72
    Increase
    0.72
    âĺħ
    0.72
    Analysis
    0.71
    Recommend
    0.69
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.68
    âĹı
    0.67
    Activations Density 0.144%

    No Known Activations