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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. 23384
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    Explanations

    phrases related to propositions or premises

    oai_token-act-pair · gpt-3.5-turbo

    terms related to propositions and premises

    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
    ocker
    -0.80
    ularity
    -0.76
    pine
    -0.76
    lake
    -0.74
    thumbnails
    -0.73
    owing
    -0.73
    itsch
    -0.72
    fax
    -0.71
    irtual
    -0.71
    upt
    -0.70
    POSITIVE LOGITS
     proposition
    0.92
    ually
    0.84
     premise
    0.82
    aur
    0.67
     hypothes
    0.67
     false
    0.66
    itious
    0.66
    -+-+
    0.66
     propositions
    0.65
     untrue
    0.64
    Activations Density 0.076%

    No Known Activations