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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. 4890
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    Explanations

    phrases related to confidentiality or conditions attached to actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conditions or terms related to anonymity

    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
    thouse
    -0.59
    ften
    -0.56
     downhill
    -0.55
     Niet
    -0.54
     persecut
    -0.53
     outdoors
    -0.52
    rients
    -0.51
    enery
    -0.51
     hardest
    -0.51
     itch
    -0.51
    POSITIVE LOGITS
    olla
    0.72
    berus
    0.70
    reference
    0.69
    ascript
    0.58
    dating
    0.58
     substitution
    0.57
     assignments
    0.56
    SourceFile
    0.56
    avage
    0.55
    aria
    0.54
    Activations Density 0.146%

    No Known Activations