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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 7765
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    Explanations

    social media actions related to blocking and unblocking users

    oai_token-act-pair · gpt-3.5-turbo

    terms related to blocking or unblocking, particularly in a social media or online context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prest
    -0.74
    tti
    -0.72
     subdu
    -0.70
    hospital
    -0.70
     toget
    -0.68
     mortar
    -0.67
     quarters
    -0.67
     composition
    -0.66
     appropri
    -0.66
     crest
    -0.65
    POSITIVE LOGITS
    able
    1.34
    ables
    1.27
    ABLE
    1.07
    ability
    1.07
    ers
    0.99
    abilities
    0.97
    edIn
    0.96
    abled
    0.95
    ment
    0.93
    ishable
    0.92
    Activations Density 0.058%

    No Known Activations