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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. 21333
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    Explanations

    terms related to destruction or removal, particularly focused on demolition

    oai_token-act-pair · gpt-3.5-turbo

    terms related to demolition and destruction

    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
    cius
    -0.95
    ROM
    -0.76
    vana
    -0.72
     Seconds
    -0.67
    BuyableInstoreAndOnline
    -0.65
    rosso
    -0.65
     Tray
    -0.65
     Lauder
    -0.64
     Byrne
    -0.63
    "]=>
    -0.63
    POSITIVE LOGITS
     derby
    1.03
     demolition
    0.98
     demol
    0.97
    olition
    0.93
    hower
    0.85
     demolished
    0.83
     rubble
    0.83
     bulldo
    0.81
    nance
    0.78
     barric
    0.77
    Activations Density 0.060%

    No Known Activations