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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. 3-RES-JB
    11. 23908
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    Explanations

    references to emergency situations and rescue operations

    oai_token-act-pair · gpt-3.5-turbo

    references to workers and rescue personnel involved in emergency situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osphere
    -0.73
    born
    -0.72
    liest
    -0.70
    ãĤ½
    -0.66
    ces
    -0.65
    adium
    -0.65
    co
    -0.65
     hegemony
    -0.63
    oken
    -0.63
    hood
    -0.63
    POSITIVE LOGITS
    nsic
    0.85
     allege
    0.80
     confir
    0.80
     suspect
    0.78
     officers
    0.76
     crews
    0.76
     caution
    0.75
     detained
    0.74
     resorted
    0.73
     chiefs
    0.72
    Activations Density 0.225%

    No Known Activations