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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. 9-RES-JB
    11. 5586
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    Explanations

    words relating to intentions or intentional actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to intention and roles in a social context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    scl
    -0.65
    paces
    -0.62
    tub
    -0.60
    âĺħâĺħ
    -0.60
     Og
    -0.59
    mind
    -0.58
    hirt
    -0.55
    packing
    -0.54
     Yosh
    -0.54
     Lak
    -0.53
    POSITIVE LOGITS
    ally
    2.10
    ality
    2.00
    alities
    1.73
    als
    1.71
    alist
    1.71
    al
    1.48
    nel
    1.44
    alid
    1.38
    ately
    1.32
    alis
    1.29
    Activations Density 0.307%

    No Known Activations