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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. 5-RES-JB
    6. 23933
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    oai_token-act-pair · gpt-3.5-turbo

    phrases that list or describe multiple items or examples in a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    scribe
    -0.69
    arde
    -0.68
    Į
    -0.67
    atre
    -0.67
    gged
    -0.65
    ady
    -0.61
     stricken
    -0.61
    ahime
    -0.60
     itself
    -0.60
    emaker
    -0.60
    POSITIVE LOGITS
     including
    1.36
     Including
    1.30
    including
    1.19
     besides
    1.02
     namely
    0.95
     ranging
    0.95
     culminating
    0.90
     includ
    0.88
     except
    0.87
    except
    0.84
    Activations Density 0.781%

    No Known Activations