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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. 3810
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    Explanations

    social media actions, specifically related to blocking or unblocking users

    oai_token-act-pair · gpt-3.5-turbo

    terms related to blocking or unblocking content, especially in digital contexts

    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
    hospital
    -0.78
    tti
    -0.75
     subp
    -0.70
     princ
    -0.69
    responsible
    -0.69
    icho
    -0.69
     reluct
    -0.68
     mortar
    -0.68
     sacrific
    -0.67
     subdu
    -0.67
    POSITIVE LOGITS
    ables
    1.17
    able
    1.09
    ances
    1.08
    ers
    0.95
    ance
    0.95
    ability
    0.95
    ment
    0.92
    enged
    0.87
    enment
    0.87
    ancing
    0.86
    Activations Density 0.031%

    No Known Activations